Guess What You Will Cite: Personalized Citation Recommendation Based on Users’ Preference

Abstract

AbstractAutomatic citation recommendation based on citation context is a highly valued research topic. When writing papers, researchers can save a lot of time with a system which can recommend a paper list for every citation placeholder. The past works all focus on the content based methods only. In this paper, we consider the citation recommendation as a content based analysis combined with personalization, using users’ publication or citation history as users’ profile and conduct to a personalized citation recommendation. After the combination of users’ citing preference with content relevance measurement, we obtain an 27.65% improvement of the performance in terms of MAP and 31.67% improvement in recall@10 compared with state-of-art models for citation recommendation problem.KeywordsCitation RecommendationPersonalization